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dc.contributor.authorSchade, René-
dc.date.accessioned2024-10-24T14:50:26Z-
dc.date.available2024-10-24T14:50:26Z-
dc.date.issued2024-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/422-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/373-
dc.description.abstractRaw data of the six decision-makers of the analytical hierarchy process (AHP) expert survey. The expert survey was conducted for prioritising sub-criteria of the Simulation Decision Matrix (SDM). The SDM is primarily used for prioritising quality-critical product parameters of hydrogen technologies for simulation applications in their production process.en
dc.description.sponsorshipCo-funding from the European Union and the “Ministry of Food, Rural Areas, and Consumer Protection Baden-Württemberg” (German: Ministerium für Ernährung, Ländlichen Raum und Verbraucherschutz Baden-Württemberg)en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectHydrogen technologiesen
dc.subjectProductionen
dc.subjectQuality controlen
dc.subjectDigital Twinen
dc.subject.ddcDDC::600 Technik, Medizin, angewandte Wissenschaften::650 Management, Öffentlichkeitsarbeit::658 Allgemeines Managementen
dc.titleSimulation Decision Matrix_Analytical Hierarchy Process_raw data_expert surveyen
dc.typeTabular Dataen
dc.contributor.funderEuropean Commission ECen
fordatis.instituteIPA Fraunhofer-Institut für Produktionstechnik und Automatisierungen
fordatis.rawdatatrueen
fordatis.sponsorship.FundingProgrammeRegioWIN 2030en
fordatis.sponsorship.projectidELR_2452419en
fordatis.sponsorship.projectnameH2BlackForesten
fordatis.sponsorship.ResearchFrameworkProgrammEuropean Regional Development Fund (ERDF)en
fordatis.date.start2024-06-27-
fordatis.date.end2024-09-06-
Appears in Collections:Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA

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